Home / Blog / AI & Dealtech

Hebbia Alternative for APAC M&A Teams in 2026

Comparing Hebbia to Amafi for M&A workflow. Where each platform fits and why APAC deal teams choose infrastructure built for origination and execution in the region.

Hebbia Alternatives for APAC M&A Deal Teams

Hebbia has established a strong position in the AI tools conversation for investment banking and private equity. Backed by significant venture funding and used by teams at major financial institutions, its document intelligence capabilities — reading dense deal materials, synthesising due diligence findings, building structured outputs from unstructured documents — address a real pain point in deal workflow.

If you are evaluating Hebbia and want to understand where it fits versus purpose-built APAC M&A infrastructure, this comparison covers both platforms clearly.


What Hebbia Does

Hebbia builds AI infrastructure for financial analysis and document-heavy workflows. Its flagship product — Matrix — is a spreadsheet-style interface where rows are questions and columns are documents. Deal teams load data rooms, earnings calls, regulatory filings, or company presentations, and Matrix generates structured responses across all documents simultaneously.

Key characteristics:

  • Primary use case: Due diligence document synthesis, research acceleration, earnings and filing analysis
  • User type: Investment banking analysts, PE deal teams, hedge fund analysts
  • Core capability: Reading, cross-referencing, and synthesising large volumes of financial documents
  • Geography: US-built, primarily targeting North American and European financial institutions
  • Model: Enterprise SaaS — seat-based or enterprise contract pricing
  • What it does not do: Deal sourcing, target identification, buyer list building, CIM production, execution capacity

Hebbia is excellent at a specific problem: when you have the documents, it helps you extract and structure insights from them faster than manual review. For teams spending significant analyst hours on diligence document review, it is a genuine productivity tool.


Where Hebbia Falls Short for APAC Deal Teams

Origination is not part of the model. The fundamental gap is upstream of what Hebbia solves. APAC deal origination — identifying the right target companies, understanding succession dynamics in Japan or family holding structures in Southeast Asia, mapping cross-border buyer interest — precedes the document stage entirely. Hebbia helps once you have a mandate and a data room. It does not help you find the mandate or build the buyer universe.

APAC private company coverage. The majority of mid-market APAC transactions involve private companies, many of which are not covered in Western financial databases. Hebbia’s document intelligence is powerful when documents exist and are accessible. In APAC markets — where disclosure norms differ, language barriers are real, and private company information is fragmented across Japanese, Korean, Mandarin, Bahasa, and Thai registries — the upstream data problem is often more limiting than the synthesis problem.

Execution capacity is missing. Beyond document analysis, boutique advisors in Asia Pacific need hands-on execution capacity: producing the CIM, building the financial model, running buyer outreach, managing the diligence process. These are deliverables, not insights. Hebbia generates outputs from documents; it does not provide the analyst-level execution infrastructure that most boutique APAC advisory firms cannot sustain internally.

Enterprise pricing model. Hebbia’s enterprise pricing structure is calibrated for large financial institutions with dedicated AI budgets. For boutique advisory firms, the subscription cost is a fixed overhead that is not aligned with deal outcomes. The model does not work well for firms with variable deal flow.


How Amafi Is Different

Amafi is built as execution infrastructure for M&A advisors and institutional deal teams — not a document analysis tool. The starting point is origination: finding the right companies, identifying buyer interest, and building the materials that enable a process to start.

What Amafi provides

Target identification and origination: Amafi’s AI origination layer screens APAC private company databases for targets matching a defined mandate profile — sector, geography, ownership structure, financial characteristics, and succession or strategic disposition signals. Partner advisors receive pitchbook-ready opportunities, not just raw target lists.

CIM and pitchbook production: Once a mandate is confirmed, Amafi produces the Confidential Information Memorandum, teaser, and management presentation as finished deliverables — written, modelled, and formatted to the advisor’s brand. This is a completed CIM in approximately one business day, not a tool for drafting one.

Buyer list building and mapping: Amafi identifies and maps strategic and financial buyers for specific mandates — matching sector fit, geographic acquisition history, stated M&A strategy, and cross-border capital flow patterns — across Japan, Korea, Greater China, Southeast Asia, Australia, India, and the Middle East.

Diligence operations: Data room organisation, Q&A log management, due diligence coordinator support, and process tracking through exclusivity and close. For advisors managing multiple mandates simultaneously, this is the execution capacity that prevents process degradation under time pressure.

Advisor-aligned fee model: Amafi operates on a fee-share basis with partner advisors. There is no subscription, no upfront cost, and no document credits. Amafi earns when advisors close deals.

Side-by-side comparison

CapabilityHebbiaAmafi
Document analysis and synthesisCore strengthNot the primary offering
Deal origination and target identificationNot includedCore offering
Buyer list buildingNot includedCore offering
CIM and pitchbook productionNot includedCore offering (finished deliverable)
Diligence operations supportPartial (document review)Full service capacity
APAC private company dataLimitedAPAC-native
Business modelEnterprise SaaS subscriptionFee-share with partner advisors
GeographyUS/Europe primaryAsia Pacific native
Target userLarge-institution analyst teamsPartner advisory firms

When Hebbia Makes Sense

Hebbia is a reasonable choice if:

  • Your primary bottleneck is document-heavy due diligence analysis at volume
  • You have active deal flow and large data rooms to process
  • Your team has enterprise AI budget and institutional IT compliance requirements
  • Your deal focus is primarily North American or European, where document availability is high

When Amafi Makes Sense

Amafi is the right choice for:

  • Advisory firms and deal professionals who need APAC origination pipeline rather than document acceleration
  • Teams running cross-border mandates involving Japan, Korea, Southeast Asia, Greater China, India, or Australia
  • Boutique advisors who need execution capacity — CIM, model, buyer research, diligence ops — without building an internal team
  • Deal professionals who want a partner model where costs are tied to outcomes, not upfront subscriptions

“The conversation around AI in M&A defaults to document review and diligence efficiency. Those are real problems. But for APAC deal teams, the bigger problem is earlier — finding the right targets, building the buyer universe, and producing the materials that get a process started. That is what Amafi solves.” — Daniel Bae, Founder & CEO, Amafi


Getting Started with Amafi

Amafi works with a select group of partner advisors across Asia Pacific. If your firm covers APAC cross-border deal flow and needs origination pipeline and execution capacity, explore the partnership programme.

For a full overview: origination support · execution support · platform roadmap

Related: Eilla AI Alternative · OffDeal Alternative · Best AI Tools for Investment Banking · Best M&A Software 2026

Daniel Bae

About the author

Daniel Bae

Co-founder & CEO, Amafi

Daniel is an investment banker with 15+ years of experience in M&A, having advised on deals worth over US$30 billion. His career spans Citi, Moelis, Nomura, and ANZ across London, Hong Kong, and Sydney. He holds a combined Commerce/Law degree from the University of New South Wales. Daniel founded Amafi to solve the pain points in M&A, enabling bankers to focus on what matters most — delivering trusted advice to clients.